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Organizers:
Jennifer Flegg (University of Melbourne), Prof Mat Simpson, Queensland University of Technology
Description:
Modelling whole cells has been identified as a “grand challenge of 21st century science”. However, we currently lack the mathematics, the modelling technologies, and the computational frameworks to understand and predict cellular behaviour. Without mathematical models we cannot understand cellular life, or explore new ways of rationally guiding or designing cellular behaviour. This minisymposium aims to bring together the latest research in methods for whole cell modelling. A variety of methods will be showcased including energy-based modelling methods, machine learning, parameter identifiability, model selection and more. The minisymposium is organised by the Australian Research Council Centre of Excellence in the Mathematical Analysis of Cellular Systems (MACSYS). MACSYS is a 7 year multi-institutional centre that involves several SMB members. The aim of MACSYS is to generate the mathematical, statistical and computational technologies required to make biology predictive; establish mathematical whole cell models for in silico biology as a powerful complement to traditional in vivo and in vitro approaches; tackle fundamental biological problems; and establish a world-leading research and biotechnology translation environment.
Diversity Statement:
We have endeavoured to put together a minisymposium proposal with a diverse set of speakers. Of the 8 speakers, 4 identify as women. We have also considered geographic diversity, with speakers coming from three continents (North America, Europe and Australia). Furthermore, we have tried to provide an opportunity for several early career researchers to present their work (1 PhD student, 2 postdocs).
Dr Michael Pan (University of Melbourne)
"Energy-based modelling of integrated cardiac cell physiology"
Prof Ruth Baker (University of Oxford)
"Parameter identifiability in biological models"
Prof Padmini Rangamani (University of California San Diego)
"Modeling membrane curvature generation"
Prof Zaida Luthey-Schulten (University of Illinois)
"Determining the rules of life for a minimal bacteria cell"
Prof Ramon Grima (University of Edinburgh)
"Beyond simple models of stochastic gene expression"
A/Professor Jean Wen (Australian National University)
"Machine learning for whole cell modelling"
Yong See Foo (University of Melbourne)
"Model distinguishability and parameter identifiability in dynamical systems"
Dr Alex Johnston (Queensland University of Technology)
"An introduction to whole cell modelling"
